On the use of X-ray computed tomography in assessment of 3D-printed components

MR Khosravani, T Reinicke - Journal of Nondestructive Evaluation, 2020 - Springer
Technical advantages of additive manufacturing (AM) have drawn great attention over the
past few years. This cost-effective manufacturing process proved its potential applications in …

NDE 4.0: Progress, promise, and its role to industry 4.0

N Meyendorf, N Ida, R Singh, J Vrana - NDT & E International, 2023 - Elsevier
Abstract “Industry 4.0” stands for the fourth industrial revolution, the transition from
production by computer controlled isolated machines to the concept of a smart factory …

Advanced robotics and additive manufacturing of composites: towards a new era in Industry 4.0

H Parmar, T Khan, F Tucci, R Umer… - Materials and …, 2022 - Taylor & Francis
In recent years, new revolutionary paradigms generally indicated using the term Industry 4.0,
have been conceived and are progressively applied in several manufacturing systems to …

Advanced deep learning model-based impact characterization method for composite laminates

KC Jung, SH Chang - Composites Science and Technology, 2021 - Elsevier
The aim of this study was to develop a structural health monitoring system for smart
composite structures through the use of signal processing, deep learning algorithms, and …

Artificial intelligence for non-destructive testing of CFRP prepreg materials

C Schmidt, T Hocke, B Denkena - Production Engineering, 2019 - Springer
This paper presents a concept of the quality assurance for CFRP prepreg materials and
focusses on the classification of thermographic images using convolution neural networks …

[HTML][HTML] Detecting multi-scale defects in material extrusion additive manufacturing of fiber-reinforced thermoplastic composites: a review of challenges and advanced …

DA Ashebir, A Hendlmeier, M Dunn, R Arablouei… - Polymers, 2024 - mdpi.com
Additive manufacturing (AM) defects present significant challenges in fiber-reinforced
thermoplastic composites (FRTPCs), directly impacting both their structural and non …

Qualitative comparison of non-destructive methods for inspection of carbon fiber-reinforced polymer laminates

J Rus, A Gustschin, H Mooshofer… - Journal of …, 2020 - journals.sagepub.com
In the rapidly expanding composite industry, novel inspection methods have been
developed in recent years. Particularly promising for air-coupled testing are cellular …

[HTML][HTML] Semantic segmentation for non-destructive testing with step-heating thermography for composite laminates

OD Pedrayes, DG Lema, R Usamentiaga, P Venegas… - Measurement, 2022 - Elsevier
In this paper, semantic segmentation networks such as UNet and DeepLabV3+ are
evaluated and compared against Random Forest and Support Vector Machines in the field …

High-Resolution Ultrasound to Quantify Sub-Surface Wrinkles in a Woven CFRP Laminate

MA Amif, DA Jack - Materials, 2024 - mdpi.com
Carbon fiber reinforced polymer (CFRP) composites are popular materials in the aerospace
and automotive industries because of their low weight, high strength, and corrosion …

[HTML][HTML] Determination of defect depth in industrial radiography imaging using MCNP code and SuperMC software

A Khorshidi, B Khosrowpour, SH Hosseini - Nuclear Engineering and …, 2020 - Elsevier
Background Non-destructive evaluation of defects in metals or composites specimens is a
regular method in radiographic imaging. The maintenance examination of metallic structures …